MVS Abhishek

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

Key Highlights

Proficient in audio classification and machine learning techniques.
Experience with feature extraction methods for audio data.
Strong foundation in software development and engineering.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on audio processing and software development.

Contact

Skills

Core Skills

Audio ProcessingMachine Learning

Other Skills

AWS LambdaAndroid DevelopmentAndroid StudioAudio ClassificationC++CNNCassandraData StructuresFeature ExtractionJavaJavaScriptLSTMLeadershipManagementMicrosoft Office

Experience

Coinswitch

2 roles

Software Development Engineer 2

Promoted

Oct 2024 – Mar 2025 · 5 mos · Bengaluru, Karnataka, India

Software Development Engineer - 1

Nov 2022 – Oct 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India

Bidgely

Software Engineer

Jul 2021 – Nov 2022 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

Samsung r&d institute delhi

Intern

May 2020 – May 2020 · 0 mo · Delhi, India

My task is to classify the audio data into specific genres from the GTZAN dataset which contains 10 genres.
Used different feature extraction methods like Short-term Fourier Transform (STFT), Mel-spectrogram and Mel-frequency cepstrum coefficient (MFCC) and each feature extraction technique has been successful in its own various audio applications.
Implemented the divide and conquer method with the help of LSTM and ensembling techniques with the help of CNN to achieve better accuracy.

Audio ClassificationFeature ExtractionLSTMCNNAudio ProcessingMachine Learning